Driving Quality Improvement in Local Public Health Practice

2010 ◽  
Vol 16 (1) ◽  
pp. 67-71 ◽  
Author(s):  
Penney Berryman Davis ◽  
Jessica Solomon ◽  
Grace Gorenflo
1998 ◽  
Vol 4 (5) ◽  
pp. 26-32 ◽  
Author(s):  
Bernard J. Turnock ◽  
Arden S. Handler ◽  
C. Arden Miller

Author(s):  
Beverley J. Paterson ◽  
David N. Durrheim

Surveillance evaluations of surveillance systems should provide evidence to improve public health practice. In response to surveillance evaluation findings amongst Pacific Island Countries and Territories that identified a critical need to better equip local public health officials with skills to rapidly appropriately respond to suspected infectious disease outbreaks across the Pacific, the RAPID (Response and Analysis for Pacific Infectious Diseases) project was implemented to strengthen capacity in surveillance, epidemiology and outbreak response. The RAPID project is a notable example of how evidence gathered through a surveillance evaluation can be used to improve public health surveillance practice.


2020 ◽  
Vol 15 (1) ◽  
Author(s):  
Joseph T. Ornstein ◽  
Ross A. Hammond ◽  
Margaret Padek ◽  
Stephanie Mazzucca ◽  
Ross C. Brownson

Abstract Background Mis-implementation—defined as failure to successfully implement and continue evidence-based programs—is widespread in public health practice. Yet the causes of this phenomenon are poorly understood. Methods We develop an agent-based computational model to explore how complexity hinders effective implementation. The model is adapted from the evolutionary biology literature and incorporates three distinct complexities faced in public health practice: dimensionality, ruggedness, and context-specificity. Agents in the model attempt to solve problems using one of three approaches—Plan-Do-Study-Act (PDSA), evidence-based interventions (EBIs), and evidence-based decision-making (EBDM). Results The model demonstrates that the most effective approach to implementation and quality improvement depends on the underlying nature of the problem. Rugged problems are best approached with a combination of PDSA and EBI. Context-specific problems are best approached with EBDM. Conclusions The model’s results emphasize the importance of adapting one’s approach to the characteristics of the problem at hand. Evidence-based decision-making (EBDM), which combines evidence from multiple independent sources with on-the-ground local knowledge, is a particularly potent strategy for implementation and quality improvement.


2014 ◽  
Vol 20 (5) ◽  
pp. 472-480 ◽  
Author(s):  
Paul Campbell Erwin ◽  
Jenine K. Harris ◽  
Carson Smith ◽  
Carolyn J. Leep ◽  
Kathleen Duggan ◽  
...  

BMJ Open ◽  
2020 ◽  
Vol 10 (8) ◽  
pp. e036044 ◽  
Author(s):  
Jude Stansfield ◽  
Jane South ◽  
Tom Mapplethorpe

ObjectivesThe aim of the study was to identify key elements of whole system approaches to building healthy communities and putting communities at the heart of public health with a focus on public health practice to reduce health inequalities.DesignA mixed-method qualitative study was undertaken. The primary method was semi-structured interviews with 17 public health leaders from 12 local areas. This was supplemented by a rapid review of literature, a survey of 342 members of the public via Public Health England’s (PHE) People’s Panel and a round-table discussion with 23 stakeholders.SettingLocal government in England.ResultsEleven elements of community-centred public health practice that constitute taking a whole system approach were identified. These were grouped into the headings of involving, strengthening, scaling and sustaining. The elements were underpinned by a set of values and principles.ConclusionLocal public health leaders are in a strong position to develop a whole system approach to reducing health inequalities that puts communities at its heart. The elements, values and principles summarise what a supportive infrastructure looks like and this could be further tested with other localities and communities as a framework for scaling community-centred public health.


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